PSO Algorithm Based on Perception Range and Application in the Constrained Optimization

Abstract:

There is a shortcoming that particle swarm algorithm is ease fall into local minima. To avoid this drawback, this paper insert into a perception range that from Glowworm swarm optimization. according to domain to determine a perception range, within the scope of perception of all the particles find an extreme value point sequence. All the particles that in the perception scope find a extreme value point sequence, which apply roulette method, in order to choose a particle instead of global extreme value. So as to scattered particle, and avoid the local minima.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 1294-1297
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.1294
• Online since: August 2013
• Authors: Hong Xia Liu
• Keywords: Extreme Value Point Sequence, Glowworm Swarm Optimization, Perception Range

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